
ROHIT RANJAN SINHA
@rohitranjansinha
I build GenAI-powered backend systems that improve trust, billing, and large-scale data workflows.
What I'm looking for
At LinkedIn, I build GenAI-powered systems for Ads Trust and billing, including a policy review pipeline that cut manual review volume by 96–98% without increasing Policy Violating Views.
I also architected a Billing Copilot using a skill-orchestrator agent and MCP-based retrieval across runbooks, wikis, and JIRA tickets, reducing my on-call resolution effort by about 50%. My work on a controlled advertiser pilot linked faster approvals to stronger retention and influenced leadership roadmap decisions.
Previously at Goldman Sachs, I built a backwards-compatibility framework for product reference data across 6,500+ products and multiple vendors and exchanges, improving symbology coverage by 90%. I owned vendor onboarding and mentored an intern through a successful full-time conversion.
I've also contributed to Azure Postgres Billing security initiatives at Microsoft. I work across Java, microservices, distributed systems, Kafka, ETL pipelines, LLMs, and applied machine learning, and I enjoy mentoring early-career engineers.
Experience
Work history, roles, and key accomplishments
Redesigned ad policy review pipeline with GenAI, raising review precision from 3% to 20% (Alcohol) and 2% to 15% (Political), cutting manual review volume by 96-98%. Led a pilot across ~30,000 advertisers linking Time-to-Approval to retention, and architected a skill-orchestrator agent for billing copilot.
Contributed to security initiatives including auditing and cleaning logs of sensitive data and embedded credentials.
Built an automated backwards-compatibility framework for product reference data from multiple vendors and exchanges, improving symbology coverage by 90%. Mentored an intern who received a full-time offer.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology, Kurukshetra
Bachelor of Technology, Information Technology
2017 - 2021
Grade: 9.17/10
Pursued a Bachelor of Technology in Information Technology, achieving a CGPA of 9.17 out of 10.
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